Senior Data Engineer (Big Data)

<p><strong><em>This is us</em></strong><em><br/><br/></em>At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development. <br/></p><p><strong><em>This is the job</em></strong></p><p>We’re looking for Senior (Big) Data Engineer to join our data platform initiatives. The role requires a professional who is fluent in Polish and located in Poland. You will contribute to the development and operation of high-volume, low-latency data processing pipelines, focusing on building and maintaining large-scale batch and streaming systems that handle substantial volumes of event data.</p><p><strong><em>This is you</em></strong></p><ul><li><p>6-8 years of hands on experience in Data Engineering</p></li><li><p>Experience with at least one major cloud platform (GCP, AWS, or Azure) and willingness to work in a GCP-based environment; prior GCP experience is a plus.</p></li><li><p>Strong hands-on experience with Apache Spark in production environments, with Python/PySpark being sufficient, and practical experience in streaming or event-driven data processing using technologies such as Kafka, Google Pub/Sub, AWS Kinesis, or Azure Event Hubs.</p></li><li><p>Solid SQL skills, including data transformations, analytical querying, and performance optimization.</p></li></ul><p>Nice-to-have skills:</p><ul><li><p>Previous experience in a Big Data Engineer role</p></li><li><p>Background in JVM-based data processing (Scala, Java, Kotlin)</p></li><li><p>Familiarity with data lake or lakehouse architectures</p></li><li><p>Experience with monitoring and data quality checks</p></li><li><p>Exposure to high-throughput event processing systems</p></li><li><p>Experience with CI/CD or Infrastructure-as-Code</p></li></ul><p><strong><em>This is your role</em></strong></p><p>Design, build, and maintain scalable batch and streaming data pipelines, including developing and optimizing Apache Spark jobs using PySpark. The role involves working with streaming and event-driven platforms, processing and analyzing large datasets with SQL, and improving the performance, reliability, and observability of data pipelines. Collaboration with analytics, platform, and product teams is expected, along with participation in technical and architectural decisions and end-to-end ownership of data solutions from design through production.</p><p><strong><em>What awaits you at Avenga?</em></strong></p><p><em>At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.</em></p>